2002RePEc: Research Papers in EconomicsRequires access

TOPICS, TECHNIQUES AND APPLICATIONS IN URBAN AND REGIONAL SCIENCE IN THE NINETIES: A BIBLIOMETRIC ANALYSIS

Jordi Suriñach, Juan C. Duque, Raúl Ramos, Vicente Royuela

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Abstract

The current state of regional and urban science has been much discussed and a number of studies have speculated on possible future trends in the development of the discipline. However, there has been little empirical analysis of current publication patterns in regional and urban journals. This paper studies the kinds of topics, techniques and data used in articles published in nine top international journals during the 1990s with the aim of identifying current trends in this research field.

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What this paper is about

The current state of regional and urban science has been much discussed and a number of studies have speculated on possible future trends in the development of the discipline. However, there has been little empirical analysis of current publication patterns in regional and urban journals. This paper studies the kinds of topics, techniques and data used in articles published in nine top international journals during the 1990s with the aim of identifying current trends in this research field.

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Available abstract

The current state of regional and urban science has been much discussed and a number of studies have speculated on possible future trends in the development of the discipline. However, there has been little empirical analysis of current publication patterns in regional and urban journals. This paper studies the kinds of topics, techniques and data used in articles published in nine top international journals during the 1990s with the aim of identifying current trends in this research field.

Key concepts: Regional science, Field (mathematics), Political science, Data science, Geography, Computer science, Mathematics, Pure mathematics

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TOPICS, TECHNIQUES AND APPLICATIONS IN URBAN AND REGIONAL SCIENCE IN THE NINETIES: A BIBLIOMETRIC ANALYSIS — Research Paper | ScholarLens